code: def test_smoke(self, device, dtype):
      pts1 = torch.rand(1, 4, 3, device=device, dtype=dtype)
      pts2 = torch.rand(1, 4, 3, device=device, dtype=dtype)
      Fm = utils.create_random_fundamental_matrix(1).type_as(pts1)
      assert epi.sampson_epipolar_distance(pts1, pts2, Fm).shape == (
          1,
          4,
      )
  
imports: import torch
  from torch.autograd import gradcheck
  import kornia.geometry.epipolar
  import kornia.testing
  from kornia.testing import assert_close
label_desc: Use image node_id 1 for calling the TestSampsonEpipolarDistance obj's underlying member method code with example usage: obj.test_smoke(device, dtype) without return types